Transcript of Big Data in Medical Imaging

ConclusionReal time use of this proposed system can revolutionize the way breast cancer is treated Big Data in Medical ImagingTeam Name: TechKnuckledMamtha LakshminarasimhanMiti KadiaSharanya JayabalanShirley Xiao

Helps analyze mammograms on a large scale.Eliminates Human ErrorBut could not handle heterogeneous imagesImage SegmentationFEATURE EXTRACTIONReduce the ROIs of the image into 16x16.

Identify the co-occurrence matrix M(d,θ) where d is the distances 1,2,3,4,5 and θ is the directions of 0, 45, 90, 135.

Calculate twenty 16x16 matrices.

For each matrix, the seven features are calculated, producing a feature vector of 140 elements to represent each image.

FeaturesDISCRETIZATIONSort the data for the given feature in ascending order.Define cut points so that every value of the feature is in separate interval.Repeat until there are no more features.

PATTERN EXTRACTIONDiscover high-order patterns or event associations

Standardized residual is used to select the compound set as a Pattern.